In recent years, there has been a growing interest in applying Bayesian networks and their extensions to reconstruct regulatory networks from gene expression data. Since the gene ...
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
The open, sharing and anonymous nature of peer-to-peer (P2P) network has offered opportunities and threats for the development of distributed computing technology. One feasible way...
Abstract. With the availability of hundreds and soon-to-be thousands of complete genomes, the construction of genome-scale metabolic models for these organisms has attracted much a...
E-mail services are essential in the Internet. However, the basic e-mail architecture presents problems that opens it to several threats. Alternatives have been proposed to solve ...